About This Architecture

Oracle-to-ADLS batch pipeline using Azure Synapse Analytics ingests data from on-premises Oracle via Self-hosted Integration Runtime and Synapse Copy Activity into ADLS Gen2 Raw zone as Parquet. Synapse Spark Pool transforms raw data through cleansing and conversion, landing curated silver and aggregated gold zones in ADLS Gen2. Synapse Serverless SQL Pool serves analytics queries to Power BI dashboards, with Azure Monitor tracking pipeline health and performance. This medallion architecture separates ingestion, processing, and serving stages, enabling scalable data transformation while maintaining data lineage and governance. Fork this diagram to customize connector settings, add incremental load logic, or integrate additional data sources into your Synapse workspace.

People also ask

How do I build a batch ETL pipeline from on-premises Oracle to Azure Synapse Analytics and ADLS Gen2?

This diagram shows a medallion architecture using Self-hosted Integration Runtime to extract Oracle data via Synapse Copy Activity into ADLS Gen2 Raw zone, then Synapse Spark Pool transforms and cleanses data into Silver and Gold zones. Synapse Serverless SQL Pool queries the aggregated gold layer for Power BI analytics, with Azure Monitor observing the entire pipeline.

Oracle to ADLS Synapse Batch Pipeline

AzureintermediateAzure SynapseETL pipelineADLS Gen2Sparkdata engineeringmedallion architecture
Domain: Data EngineeringAudience: Data engineers building batch ETL pipelines from on-premises Oracle to Azure Synapse Analytics
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Created by

July 17, 2026

Updated

August 4, 2026 at 3:09 AM

Type

data pipeline

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